
from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame


def 		UpperCAmelCase     (      a_ = "laptop"		)						->      DataFrame:







				"""simple docstring"""



				__A       =					F'''https://www.amazon.in/laptop/s?k={product}'''
				__A       =					{
				    "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36\n        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36",
				    "Accept-Language": "en-US, en;q=0.5",
				}
				__A       =					BeautifulSoup(requests.get(a_						,  headers=a_		).text		)
				# Initialize a Pandas dataframe with the column titles
				__A       =					DataFrame(
				    columns=[
				        "Product Title",
				        "Product Link",
				        "Current Price of the product",
				        "Product Rating",
				        "MRP of the product",
				        "Discount",
				    ]		)
				# Loop through each entry and store them in the dataframe
				for item, _ in zip_longest(
				    soup.find_all(
				        "div"						,  attrs={"class": "s-result-item", "data-component-type": "s-search-result"}						,  )						,  soup.find_all("div"						,  attrs={"class": "a-row a-size-base a-color-base"}		)						,  ):
								try:
												__A       =					item.ha.text
												__A       =					"https://www.amazon.in/" + item.ha.a["href"]
												__A       =					item.find("span"						,  attrs={"class": "a-offscreen"}		).text
												try:
																__A       =					item.find("span"						,  attrs={"class": "a-icon-alt"}		).text
												except AttributeError:
																__A       =					"Not available"
												try:
																__A       =					(
																    "₹"
																    + item.find(
																        "span"						,  attrs={"class": "a-price a-text-price"}		).text.split("₹"		)[1]
																)
												except AttributeError:
																__A       =					""
												try:
																__A       =					float(
																    (
																        (
																            float(product_mrp.strip("₹"		).replace(","						,  ""		)		)
																            - float(product_price.strip("₹"		).replace(","						,  ""		)		)
																        )
																        / float(product_mrp.strip("₹"		).replace(","						,  ""		)		)
																    )
																    * 1_0_0		)
												except ValueError:
																__A       =					float("nan"		)
								except AttributeError:
												pass
								__A       =					[
								    product_title,
								    product_link,
								    product_price,
								    product_rating,
								    product_mrp,
								    discount,
								]
				__A       =					" "
				__A       =					" "
				data_frame.index += 1
				return data_frame


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE				:List[Any]									=							'headphones'
					get_amazon_product_data(product).to_csv(f'''Amazon Product Data for {product}.csv''')

import functools
from typing import Any


def 	lowerCamelCase					(	UpperCamelCase     :				str			,       UpperCamelCase     :				list[str]							)   ->    bool:

		# Validation
		if not isinstance(UpperCamelCase			,       UpperCamelCase							) or len(UpperCamelCase							) == 0:
				raise ValueError('the string should be not empty string'							)

		if not isinstance(UpperCamelCase			,       UpperCamelCase							) or not all(
		    isinstance(UpperCamelCase			,       UpperCamelCase							) and len(UpperCamelCase							) > 0 for item in words							):
				raise ValueError('the words should be a list of non-empty strings'							)

		# Build trie
		_lowerCamelCase				   =  {}
		_lowerCamelCase				   =  'WORD_KEEPER'

		for word in words:
				_lowerCamelCase				   =  trie
				for c in word:
						if c not in trie_node:
								_lowerCamelCase				   =  {}

						_lowerCamelCase				   =  trie_node[c]

				_lowerCamelCase				   =  True

		_lowerCamelCase				   =  len(UpperCamelCase							)

		# Dynamic programming method
		@functools.cache
		def is_breakable(UpperCamelCase     :				int							) -> bool:
				if index == len_string:
						return True

				_lowerCamelCase				   =  trie
				for i in range(UpperCamelCase			,       UpperCamelCase							):
						_lowerCamelCase				   =  trie_node.get(string[i]			,       UpperCamelCase							)

						if trie_node is None:
								return False

						if trie_node.get(UpperCamelCase			,       UpperCamelCase							) and is_breakable(i + 1							):
								return True

				return False

		return is_breakable(0							)


if __name__ == "__main__":
				import doctest

				doctest.testmod()